Contact Dr Yang Xing

Areas of expertise

  • Autonomous Systems
  • Computing, Simulation & Modelling
  • Ergonomics, Human Factors, Driver Safety
  • Human Factors
  • Systems Engineering
  • Vehicle Engineering & Mobility


Dr. Yang Xing received his Ph.D. degree from Cranfield University in July 2018. He also holds an MSc degree (with distinction) in Control Systems from the University of Sheffield in 2014. Before joining Cranfield University in 2021, Dr Yang Xing worked as a research associate with the Department of Computer Science at the University of Oxford from 2020 to 2021, and a research fellow with the Department of Mechanical and Aerospace Engineering, at Nanyang Technological University from 2019 to 2020. His research interest focus on artificial intelligence, deep learning, computer vision, human-autonomy collaboration, and autonomous vehicles, where he has contributed 2 books and over 80 papers (including 2 ESI highly cited papers) on high-quality peer-review journals and conferences. 

Dr. Yang Xing serves as an Associate Editor in IEEE Trans. on Intelligent Vehicles, and Review Editor in Frontiers in Mechanical Engineering. He was a Guest Editor-in-Chief/Editor in IEEE Internet of Things Journal, Mechanical Systems and Signal Processing, and IEEE Intelligent Transportation Magazine, etc. He was session chair/co-chair on IEEE SWC 2023, IEEE MFI 2022, IEEE SMC 2020, IFAC Workshop on CPHS 2020, and IEEE IV 2018, etc. He won the Best Workshop/Special Session Paper on IEEE IV 2018 and Best Paper on China National Intelligence Technology Conference 2019.

Research opportunities

Currently I'm particular focus on the following research areas:

1. Cognitive human-autonomy collaboration and teaming. 

2. Computer vision for human activity recognition (HAR) and autonomous vehicles (including segmentation, object diction, and visual augmentation). 

3. Application of machine learning/deep learning in autonomous vehicles (air/ground).


Articles In Journals

Conference Papers